A multi-cohort inverse-variance weighted estimator combined with parametric decay modeling enables precise estimation of long-term treatment effects and residual lifetime value changes from short A/B tests under user learning.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
Defines coarse representative addition and coarse cell addition on partitioned scales and demonstrates that a rescaled St. Petersburg sequence becomes inert under a suitably chosen countable partition and representative map.
citing papers explorer
-
Efficient Multi-Cohort Inference for Long-Term Effects and Lifetime Value in A/B Testing with User Learning
A multi-cohort inverse-variance weighted estimator combined with parametric decay modeling enables precise estimation of long-term treatment effects and residual lifetime value changes from short A/B tests under user learning.
-
Absorption and Inertness in Coarse-Grained Arithmetic: A Heuristic Application to the St. Petersburg Paradox
Defines coarse representative addition and coarse cell addition on partitioned scales and demonstrates that a rescaled St. Petersburg sequence becomes inert under a suitably chosen countable partition and representative map.